Multi-Dimensional Analysis: Research Methods and Current Issues (Paperback)

Multi-Dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-Dimensional Analysis (MDA) and its key elements, such as corpus building, tagging, and tools. The major goal is to explain the steps involved in the method so that readers may better understand this complex research framework and conduct MD research on their own. Multi-Dimensional Analysis is a method that allows the researcher to describe different registers (textual varieties defined by their social use) such as academic settings, regional discourse, social media, movies, and pop songs. Through multivariate statistical techniques, MDA identifies complementary correlation groupings of dozens of variables, including variables which belong both to the grammatical and semantic domains. Such groupings are then associated with situational variables of texts like information density, orality, and narrativity to determine linguistic constructs known as dimensions of variation, which provide a scale for the comparison of a large number of texts and registers. This book is a comprehensive research guide to MDA.

Author:

Tony Berber Sardinha, Marcia Veirano Pinto

Publisher:

Bloomsbury Academic

Publication Date:

Sep 17, 2020

Number of pages:

278 pages

Language:

English

Binding:

Paperback

ISBN-10:

1350190403

ISBN-13:

9781350190405